I turn AI ideas into systems that survive production.
I'm a Full-Stack AI Engineer specializing in intelligent automation, conversational AI agents, and production-grade machine learning. I design and ship RAG pipelines, autonomous agent systems with LangChain and LangGraph, and scalable AI applications on Python and FastAPI.
I'm Muhammad Noman Riaz, a Full-Stack AI Engineer who builds AI systems that solve real business problems. My focus is on the practical side of AI - turning models, data, and workflows into reliable products that users love.
Over the years, I've shipped production RAG systems, built AI agents that autonomously handle tasks, and developed dashboards and tools used by real teams every day. I care deeply about clean architecture, performance, and long-term maintainability.
I believe great engineering is not just about writing code - it's about understanding the problem, choosing the right tools, and building systems that create real impact.
Context is everything
I dive deep into the problem, users, and data before writing a single line of code.
Ship the whole loop
From data ingestion and models to APIs, UI, and deployment - I own the entire lifecycle.
Earn trust with numbers
I focus on performance, reliability, and outcomes that can be measured and felt.
Where I've shipped.
AI Engineer - Web Scraping & Data Engineering
PresentABC Teknology
- Built scraping and ingestion pipelines processing 10M+ records a month (Talabat, Carrefour) at a 99.5% uptime SLA.
- Shipped an LLM shopping assistant (LangChain + OpenAI), multi-agent, serving 1,000+ concurrent users and lifting decision efficiency 40%.
- Delivered a React Native (Expo) app with OAuth (Google/Facebook/Microsoft), RBAC, and secure sessions.
- Built a WhatsApp AI chatbot on Twilio + FastAPI with stateful flows and sub-500ms latency.
AI / ML Engineer
PresentStechAI
- Built production RAG (LangChain, Qdrant, GPT-4) over 100K+ documents at 94% accuracy and 70% faster retrieval, serving 10K+ daily predictions via FastAPI.
- Shipped ensemble ML (XGBoost / Random Forest / neural nets) at 88% accuracy behind a FastAPI service.
- Built trend prediction with BERTopic + NLP over social and creator data on MongoDB.
- Orchestrated ETL with Prefect, cutting preprocessing time 40%, and built React ML dashboards.
AI Engineer
PresentFreelance
- Built AI voice agents and omnichannel booking automation (VAPI, OpenAI, Twilio, n8n).
- Delivered document processing with RAG + MCP agents, improving efficiency 85%.
- Built AI analytics platforms for government and enterprise with natural-language querying and automated reporting.
The stack I reach for.
Tools and technologies I use to build scalable and intelligent products.
AI & ML
Python & backend
Data & scraping
Frontend & full-stack
Databases
DevOps & cloud
Vector databases
BS Computer Science
Arid Agriculture University, Rawalpindi
Muhammad is a great professional, very attentive and a good listener. Always ready even when local time is abroad. High level technical knowledge and very pro-positive. Certainly knows AI and system development from the bottom - his backend skills are amazing. He definitely helps us fast, to reach a solution which by the way was complex. He is now involved on the 3rd project with us. With no doubt, we would work with him in the future.
Ready to build something useful?
Tell me what you're working on - I can help you plan, design, build, and launch an AI-powered product, automation system, web app, or mobile app.